Keywords

Parkinson’s Disease, DBS, and Artificial Neural
Networks

Abstract

In this paper we present the initial results using an
artificial neural network to predict the onset of
Parkinson’s Disease tremors in a human subject. Data for
the network was obtained from implanted deep brain
electrodes. A tuned artificial neural network was shown to
be able to identify the pattern of the onset tremor from
these real time recordings.